onfocus

Tom Swarfties

"I trained a neural network to write Tom Swifties," Tom said artificially. But seriously, after "success" with Oregon Placenames I wanted to try something more complex. The short, repeating format of Tom Swifties seemed like something it could tackle. I found a good compilation and set to work training. (Start with the compilation if you haven't seen Tom Swifties before. You'll get the idea after a handful.)

I have a feeling I need to look into the whole GPU thing for processing because I've been training the AI nonstop on AWS for a few days now and while it has come a long way, it's still not speaking English. But the Swifty form is there and I think it has some interesting things to share. Here are a few:

"Allye! Peen!" said Tom guiltorively.

"I had a modight", said Tom inderitively.

"I've not beat'd will we I sfong that take ban hisse", said Tom bardingly.

"Let's go! wrong wo", said Tom posthalicteitingly.

"Looks oke run shats", Tom repocked.

"I more for owlanimors!" said Tom jauntly.

"I haven to reperent", said Tom barch-oned.

"I'm going to have sow manartioutive", said Tom pridely.

"I like that a get a tround of chairs?" asked Tom consically.

"You're faloamintica", Tom canied consentingly.

"I don't play due the stragumed glan to the botheric", said Tom rasmitally.

"It's tere takes my pief?" asked Tom centatically.

I notice that it's putting asked with the questions. I wonder if the adverb will eventually match the subject in the quote. I'll keep training, but it seems to get slower as it gets more complex. "I wonder if I could tap into more processing power," pb said cloudily.